Using real world data to structure and populate Markov models - a case study of telemonitoring for heart failure
posterposted on 17.03.2020 by Praveen Thokala, Peter Dodd, Simon Dixon, Alan Brennan
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OBJECTIVE The objective is to present an alternative approach that uses routinely available hospitalisation data to define the states in the Markov model and estimate the transition probabilities for chronic heart failure patients. A case study of populating a heart failure model Markov using this real world data approach is provided.
EthicsThere is no personal data or any that requires ethical approval
PolicyThe data complies with the institution and funders' policies on access and sharing
Sharing and access restrictionsThe data can be shared openly
- The file formats are open or commonly used
Methodology, headings and units
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